In this paper different models are considered for the
distribution of earnings, by occupation. In particular,
several estimators of central tendency for the distribution
of earnings data that are grouped and topcoded are developed.
Variance and interval estimators are also developed. In order
to see the effects of grouping and tail estimation, several
actual populations, consisting of earnings data that were not
grouped and topcoded are considered. Micro data collected
from establishments in the White Collar Pay Survey and the
Industry Wage Surveys are used.